A dataset for news media biases with multiple tasks.
News Media Biases
non-profit
AI & ML interests
None defined yet.
Organization Card
Name of the Project: News and Social Media Biases
Project Lead: Shaina Raza
Team Members: Nifemi Bamgbose Mizanur Rahman, Shardul Ghuge, Farnaz Kohankhaki, Drai Paulen-Patterson, Yan Sidyakin, Veronica Chatrath
Location: Canada
Type of Project: (Research Project / Application Development / Non-Profit Initiative)
Established: 2023
Mission: To detect and debias media biases using advanced NLP techniques
Hugging Face Tools Used:
- Transformers Library: To use pre-trained models like BERT, RoBERTa, Llama2 etc., for bias detection.
- Datasets Library: A collection of NLP datasets that can be useful in understanding and detecting biases in different media outlets.
- Inference API: For deploying the bias detection models in real-world applications.
See package https://pypi.org/project/UnBIAS/
Contact Information: [email protected]
References
If you use our work, please cite this page:
@misc{raza2023newsmediabias,
Author = {Shaina Raza},
title = {News Media Bias},
year = {2023},
url = {https://huggingface.co/newsmediabias},
}
Collections
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spaces
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models
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newsmediabias/UnBIAS-LLama2-Debiaser-Chat
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newsmediabias/MBIAS
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newsmediabias/UnBIAS-RoBERTa-NER
Token Classification
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newsmediabias/Roberta_Toxicity_Classification
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newsmediabias/Bert_Toxicity_Classification
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newsmediabias/DistilBert_Toxicity_Classification
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newsmediabias/Roberta_Sentiment_Classification
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newsmediabias/Bert_Sentiment_Classification
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newsmediabias/DistilBert_Sentiment_Classification
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newsmediabias/Mistral_Bias_Classification
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datasets
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newsmediabias/news-bias-full-data
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newsmediabias/fake_news_elections2024
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newsmediabias/BIAS-CONLL
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newsmediabias/NELA-GT_GPT-Labels_Dataset
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newsmediabias/Bias-Tokens
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newsmediabias/instruction-safe-llm
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newsmediabias/Bias-Debias-Alpaca
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newsmediabias/bias-aspects
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newsmediabias/Bias-Tokens-CONLL
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newsmediabias/Bias-DeBiased
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